To What Extend Does the Eddy Covariance Footprint Cutoff Influence the Estimation of Surface Energy Fluxes Using Two Source Energy Balance Model and High-Resolution Imagery in Commercial Vineyards?
Kljun EC footprint model
TSEB2T model
eddy covariance (EC)
energy fluxes
footprint / source area
footprint cutoff
latent heat flux (LE)
spatial analysis
Journal
Proceedings of SPIE--the International Society for Optical Engineering
ISSN: 0277-786X
Titre abrégé: Proc SPIE Int Soc Opt Eng
Pays: United States
ID NLM: 101524122
Informations de publication
Date de publication:
Historique:
entrez:
24
3
2021
pubmed:
25
3
2021
medline:
25
3
2021
Statut:
ppublish
Résumé
Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (u
Identifiants
pubmed: 33758459
doi: 10.1117/12.2558777
pmc: PMC7982303
mid: NIHMS1680723
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NASA
ID : NNX17AF51G
Pays : United States
Déclaration de conflit d'intérêts
Conflicts of Interest: The authors declare no conflict of interest.
Références
Sensors (Basel). 2017 Jun 26;17(7):
pubmed: 28672864
Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664:
pubmed: 31057196
Proc SPIE Int Soc Opt Eng. 2019;11008:
pubmed: 31359903
Remote Sens (Basel). 2020;12(3):342
pubmed: 32355571